SIDDHANT SAHAY
Bengaluru,KA
Summary
AI/ML Engineer with 2.5+ years of experience delivering production-grade machine learning solutions for healthcare systems. Proven track record of building, optimizing, and deploying computer vision models for MRI and Radiation Oncology platforms. Strong focus on performance, reliability, and real-world clinical usability, with end-to-end ownership across data, modeling, inference, and validation.
Overview
4
4
years of professional experience
3
3
Certifications
Work History
Software / ML Intern
HIGHRADIUS CORPORATION
- Contributed to an AI-enabled B2B FinTech Invoice Management System with ML-based payment date prediction
- Built features across a React frontend and Java REST backend integrated with machine learning workflows
Data Scientist / AI-ML Engineer
PHILIPS HEALTHCARE
01.2023 - Current
- Designed and deployed deep learning models for image enhancement, segmentation, and image-to-image translation used in clinical imaging workflows
- Optimized inference performance by engineering a custom C++ pipeline for traced PyTorch models, improving runtime efficiency and system responsiveness
- Revived and stabilized legacy AI models through extensive hyperparameter tuning, debugging, and performance analysis
- Built scalable data preprocessing and exploratory data analysis (EDA) pipelines for large medical imaging datasets
- Developed a robust end-to-end regression testing framework to validate AI outputs across releases, datasets, and clinical scenarios
- Containerized training and inference pipelines using Docker, enabling reproducible, environment-agnostic deployments
- Partnered closely with clinical experts, system engineers, and product teams to ensure AI outputs aligned with real-world workflows and quality expectations
R&D Intern
PHILIPS HEALTHCARE
01.2022 - 06.2022
- Architected a no-network AI training pipeline, eliminating external dependencies and significantly reducing environment setup time
- Delivered a successful proof-of-concept on TensorFlow model quantization, reducing model footprint and improving inference speed
- Automated internal tools and workflows, improving developer productivity and reducing manual intervention
Education
B.Tech - Computer Science and System Engineering
Kalinga Institute of Industrial Technology (KIIT)
Bhubaneswar01-2023
Skills
Healthcare AI & Medical Imaging (MRI, Radiation Oncology)
Deep Learning & Computer Vision (PyTorch, TensorFlow)
Certification
AWS Certified Cloud Practitioner
SELECT ACHIEVEMENTS
People’s Choice Award for Best AI Abstract — Philips Healthcare, Delivered multiple internal tech talks on AI products and machine learning concepts, Participated in MR-focused clinical workshops at Manipal Hospital, strengthening domain understanding
Timeline
Data Scientist / AI-ML Engineer
PHILIPS HEALTHCARE
01.2023 - Current
R&D Intern
PHILIPS HEALTHCARE
01.2022 - 06.2022
Software / ML Intern
HIGHRADIUS CORPORATION
B.Tech - Computer Science and System Engineering
Kalinga Institute of Industrial Technology (KIIT)